Changelog

What's new in Mirakash

Every release, batched and dated — from the first multi-tenant commit to the latest handoff and avatar wave. The platform ships continuously; this is the readable record.

Jul 4, 2026

v1.1Latest

Human handoff & avatar layer

One release, a whole operate layer: a human-in-the-loop escalation queue with consult-and-resume routing, expert assignment, a live conversation monitor, a pluggable avatar gateway, and auto-generated summaries that close out every conversation.

New

  • Escalation queue — when an agent reaches its limits it opens an escalation; a live inbox lets human experts pick it up, resolve, and hand control back to the caller without ever dropping the line.

  • Consult-and-resume — the agent side-calls a human, a phone number, or another AI agent, gets the answer, and returns to the conversation instead of transferring away. Agent-to-agent consults resolve live; person and number targets resolve asynchronously.

  • Expert routing — assign escalations to providers by skill and availability; assignment, resolution, and hand-back are tracked end to end on the conversation record.

  • Avatar gateway — a pluggable talking-head layer with a reference adapter; the agent's audio drives a face for web-chat and kiosk deployments, falling back to a reactive placeholder when no vendor is configured.

  • Live conversation monitor — watch active voice and chat sessions in real time from the operator console, with per-stage state and running cost.

  • Guardrail hand-off — when a guardrail trips mid-conversation, the agent can escalate automatically so risky turns reach a human immediately.

  • Conversation summaries — every session closes with an auto-generated summary, outcome, and next action written back to the record.

Improved

  • Escalations, live monitoring, and avatar controls are all permission- and feature-gated across the operator console and agent studio.

  • Consult and escalation events flow onto the same unified conversation timeline as calls and chats, so no handoff is ever a black box.

Jun 19, 2026

v1.0

Omnichannel deployment

Mirakash 1.0: run the same agent everywhere your customers are — voice, WhatsApp, SMS, email, and an embeddable web chat — without rebuilding it per channel.

New

  • Omnichannel deployment — publish one agent to voice, WhatsApp, SMS, email, and a drop-in web chat widget from a single configuration.

  • White-labeled web chat — an embeddable chat widget you brand as your own and drop onto any site with one snippet.

  • Channel routing — inbound messages and calls route to the right agent and channel automatically.

  • Unified inbox — voice and chat conversations land in one operator view with a shared transcript format.

Changed

  • Conversations now carry an explicit channel, so transcripts, analytics, and costs can never mix across voice and chat.

Jun 10, 2026

v0.9

Analytics & cost visibility

The numbers your team actually watches: how much the agent resolves on its own, how customers feel, how fast it responds, and exactly what each minute costs.

New

  • Containment & escalation analytics — see the share of conversations an agent resolves on its own versus hands off to a human.

  • Sentiment tracking — per-conversation sentiment scored across the call and surfaced on the timeline and in reports.

  • Latency dashboards — per-stage STT, LLM, TTS, and transport timing charted across every agent.

  • Itemized cost per agent — STT, LLM, TTS, and transport costs broken out per agent and per minute, so unit economics are never a guess.

May 29, 2026

v0.8

QA: scorecards & review

Quality at scale: every conversation scored automatically, risky calls surfaced by rule, and a queue where humans review what actually matters.

New

  • LLM-judge scorecards — every conversation scored automatically against a rubric you define.

  • Flagging rules & issues — write rules that surface risky or failed conversations; a failure opens a tracked issue.

  • Review queue — a human review workflow for flagged conversations, with dispositions rolled back into scoring.

May 15, 2026

v0.7

Connectors & Copilot

Reach into the systems you already run, and bring an assistant that already knows your workspace.

New

  • Connectors — real, environment-gated integrations for Slack, Zendesk, Google Sheets, Notion, and outbound webhooks.

  • Inbound webhooks & connection tests — external systems can start a workflow, and every connector ships with a one-click credential test.

  • Copilot — a page-aware assistant sidebar that answers from your own workspace data and proposes actions, scoped to the caller's permissions.

  • Environment variables — connector base URLs, keys, and endpoints are stored as {{VAR}} references and resolved per environment at runtime.

Apr 30, 2026

v0.6

Telephony & phone numbers

Give an agent a real phone number in one click, across whichever account model fits — and keep every carrier credential encrypted at rest.

New

  • One-click number provisioning — buy and attach a Twilio phone number to an agent across three account models: bring-your-own, a managed subaccount we run for you, or the platform master line.

  • Encrypted carrier credentials — auth tokens and secrets are AES-256-GCM encrypted at rest and decrypted only at call time.

Changed

  • Telephony credentials moved into the encrypted store; legacy plaintext configuration is migrated automatically and retired.

Apr 17, 2026

v0.5

Knowledge & RAG

Ground agents in your own content: upload it, and Mirakash chunks, embeds, and retrieves it so answers cite your source of truth.

New

  • Knowledge bases — upload documents and URLs; content is chunked and embedded automatically for retrieval.

  • Retrieval-augmented answers — agents ground their replies in your knowledge at conversation time, with citations back to the source.

  • Notion connector — sync Notion pages into a knowledge base and keep them current as they change.

  • Per-agent scoping — attach specific knowledge bases to specific agents so each one only knows what it should.

Mar 31, 2026

v0.4

Workflow automation engine

The logic layer: draw what an agent does as a graph — tools, conditions, and handoffs — instead of writing and maintaining code.

New

  • Visual workflow builder — an event-driven node graph with tools, conditions, transfer-to-agent, and transfer-to-human, validated live as you build.

  • Tool nodes — call external APIs and built-in actions inline during a conversation and branch on the result.

  • Runtime variable interpolation — {{VAR}} tokens in endpoints, headers, and arguments resolve from environment and conversation context at execution time.

  • Run history — every workflow run logged step by step and inspectable, with per-step retries.

Mar 12, 2026

v0.3

Realtime voice pipeline

Natural, low-latency phone conversation from a modular pipeline you can tune stage by stage — or a single-model realtime path when you want one.

New

  • Modular STT→LLM→TTS gateway — each stage streams end to end and swaps independently, with per-stage latency traced across the pipeline.

  • Provider adapters — Deepgram and AssemblyAI for speech-to-text; ElevenLabs, Cartesia, PlayHT, Rime, LMNT, and Azure for speech — eleven adapters, all real and hot-swappable.

  • Native Gemini Live — a single-model realtime path as an alternative to the composed pipeline.

  • Barge-in — callers can interrupt the agent mid-sentence; it stops speaking and starts listening instantly.

Feb 26, 2026

v0.2

The agent builder

A no-code studio for building a voice or chat agent end to end — and testing it in the browser before it ever answers a real call.

New

  • No-code agent builder — configure persona, voice, knowledge, tools, and guardrails in one place, with no prompt engineering required.

  • Browser voice tester — talk to any draft agent live in the browser before it touches a phone line.

  • Versioned publish & rollback — every publish is a version you can compare, promote, and roll back instantly.

Feb 10, 2026

v0.1

Foundation launch

The core platform: multi-tenant from the first commit, with real authentication, role-based access, and every conversation captured in one place.

New

  • Multi-tenant workspaces with role-based access — owner, admin, operator, and viewer seats, backed by Firebase authentication and scoped server-side in the data layer.

  • Agent projects & the studio shell — create, name, and organize voice and chat agents per workspace.

  • Conversation store — every call and chat captured with transcript, metadata, and status.

  • Activity feed and the first operator dashboard.

Ready to put an AI agent on every call?

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